Wearable Devices Stock Market Value
| WLDS Stock | USD 1.88 0.43 29.66% |
| Symbol | Wearable |
Wearable Devices Price To Book Ratio
Is Apparel, Accessories & Luxury Goods space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Wearable Devices. If investors know Wearable will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Wearable Devices listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (8.60) | Revenue Per Share 0.494 | Quarterly Revenue Growth 31.833 | Return On Assets (0.71) | Return On Equity (1.74) |
The market value of Wearable Devices is measured differently than its book value, which is the value of Wearable that is recorded on the company's balance sheet. Investors also form their own opinion of Wearable Devices' value that differs from its market value or its book value, called intrinsic value, which is Wearable Devices' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Wearable Devices' market value can be influenced by many factors that don't directly affect Wearable Devices' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Wearable Devices' value and its price as these two are different measures arrived at by different means. Investors typically determine if Wearable Devices is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Wearable Devices' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Wearable Devices 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Wearable Devices' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Wearable Devices.
| 12/01/2023 |
| 11/25/2024 |
If you would invest 0.00 in Wearable Devices on December 1, 2023 and sell it all today you would earn a total of 0.00 from holding Wearable Devices or generate 0.0% return on investment in Wearable Devices over 360 days. Wearable Devices is related to or competes with Koss, Wearable Devices, Sonos, LG Display, GoPro, Sony Group, and Vuzix Corp. Wearable Devices Ltd. engages in developing a non-invasive neural input interface for controlling digital devices using ... More
Wearable Devices Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Wearable Devices' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Wearable Devices upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.32) | |||
| Maximum Drawdown | 24.3 | |||
| Value At Risk | (9.61) | |||
| Potential Upside | 7.17 |
Wearable Devices Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wearable Devices' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wearable Devices' standard deviation. In reality, there are many statistical measures that can use Wearable Devices historical prices to predict the future Wearable Devices' volatility.| Risk Adjusted Performance | (0.22) | |||
| Jensen Alpha | (2.09) | |||
| Total Risk Alpha | (2.93) | |||
| Treynor Ratio | (1.38) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wearable Devices' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Wearable Devices Backtested Returns
Wearable Devices shows Sharpe Ratio of -0.3, which attests that the company had a -0.3% return per unit of risk over the last 3 months. Wearable Devices exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Wearable Devices' Mean Deviation of 4.56, standard deviation of 6.45, and Market Risk Adjusted Performance of (1.37) to validate the risk estimate we provide. The firm maintains a market beta of 1.39, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Wearable Devices will likely underperform. At this point, Wearable Devices has a negative expected return of -1.97%. Please make sure to check out Wearable Devices' treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Wearable Devices performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.08 |
Very weak reverse predictability
Wearable Devices has very weak reverse predictability. Overlapping area represents the amount of predictability between Wearable Devices time series from 1st of December 2023 to 29th of May 2024 and 29th of May 2024 to 25th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Wearable Devices price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Wearable Devices price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 6.96 |
Wearable Devices lagged returns against current returns
Autocorrelation, which is Wearable Devices stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Wearable Devices' stock expected returns. We can calculate the autocorrelation of Wearable Devices returns to help us make a trade decision. For example, suppose you find that Wearable Devices has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
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Wearable Devices regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Wearable Devices stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wearable Devices stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wearable Devices stock over time.
Current vs Lagged Prices |
| Timeline |
Wearable Devices Lagged Returns
When evaluating Wearable Devices' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wearable Devices stock have on its future price. Wearable Devices autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Wearable Devices autocorrelation shows the relationship between Wearable Devices stock current value and its past values and can show if there is a momentum factor associated with investing in Wearable Devices.
Regressed Prices |
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Thematic Opportunities
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Additional Tools for Wearable Stock Analysis
When running Wearable Devices' price analysis, check to measure Wearable Devices' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Wearable Devices is operating at the current time. Most of Wearable Devices' value examination focuses on studying past and present price action to predict the probability of Wearable Devices' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wearable Devices' price. Additionally, you may evaluate how the addition of Wearable Devices to your portfolios can decrease your overall portfolio volatility.